Total variation based convex filters for medical imaging

被引:55
作者
Keeling, SL [1 ]
机构
[1] Graz Univ, Inst Math, A-8010 Graz, Austria
基金
奥地利科学基金会;
关键词
total variation; convex filters; medical imaging; diffusion filtering; Perona-Malik; edge-flat-grey; balanced forward-backward;
D O I
10.1016/S0096-3003(02)00171-6
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Several variational based diffusion filters are applied to measured magnetic resonance images, and on this basis are evaluated for their suitability to medical imaging. In particular, a specific total variation based filter with a convex variational penalty function is introduced here for the enhancement of edge, flat, and grey image scales. In general, results reveal that convex total variation based filters can be implemented to perform very well to enhance the visual clarity of medical images. As a result, further support is provided to establish such methods for medical applications. (C) 2002 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:101 / 119
页数:19
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